3,795 件 ・ 関連度順
概要と使いどころ
Use when a task needs the judgment of a Computer Systems Analyst — running requirements elicitation and gap analysis against a target system, writing a feasibility study for a build-vs-buy-vs-customize decision, designing a system integration approach (point-to-point vs middleware vs API-led), scoping data-migration risk before a cutover, or choosing between phased and big-bang implementation strategies.
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Use when a task needs the judgment of a Cartographer/Photogrammetrist — designing an aerial or LiDAR acquisition flight plan against a stated accuracy class, running an NSSDA checkpoint accuracy test on a delivered orthophoto or DTM, choosing a horizontal/vertical datum and geoid model for a georeferencing project, diagnosing why a state-plane grid distance disagrees with a field-surveyed ground distance, or specifying LiDAR point-density and classification requirements for a bare-earth deliverable.
日本語の概要は準備中です。原文の説明を表示しています。
Spring Boot 4 REST API implementation patterns. Use when creating REST controllers, REST endpoints, request validation, exception handlers with ProblemDetail (RFC 9457), API versioning, content negotiation, WebFlux reactive endpoints, HTTP clients with @HttpExchange, JSON serialization with Jackson 3, error handling, or CORS configuration. Covers @RestController patterns, Bean Validation 3.1, global error handling, and declarative HTTP clients.
日本語の概要は準備中です。原文の説明を表示しています。
Spring Boot 4 observability with Actuator, Micrometer, and OpenTelemetry. Use when configuring health indicators, health checks, custom metrics, distributed tracing, production endpoint exposure, Kubernetes probes, Cloud Run probes, logging, or monitoring. Covers Actuator endpoint security, Micrometer Timer/Counter/Gauge patterns, OpenTelemetry span customization, liveness/readiness probe setup, and metric tag best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Design clean and consistent APIs. Use when the user says "design an API", "API design review", "design these endpoints", "REST API for X", "GraphQL schema", "API contract", "how should this endpoint work", "review my API design", or wants to create or improve an API interface - even if they don't explicitly say "API design".
日本語の概要は準備中です。原文の説明を表示しています。
Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when asked to perform inference, ask a model a question, run a test prompt, execute chat completions, or generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying models to endpoints or for running model evaluations.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when defining patient engagement portal requirements for Health Cloud: appointment scheduling, secure in-portal messaging, health assessments, patient education, and self-service features. NOT for care team workflows, SDOH barriers and care gaps — use admin/care-coordination-requirements. NOT for patient portal licensing and cloud topology — use architect/health-cloud-multi-cloud-strategy.
日本語の概要は準備中です。原文の説明を表示しています。
Automating post-sandbox-refresh cleanup via the `SandboxPostCopy` interface — the Apex class that runs ONCE after a sandbox refresh or clone completes, before users can log in. Used to mask emails, deactivate users, scrub integration endpoints, disable scheduled jobs, and reapply per-environment configuration the metadata copy doesn't carry. Covers the interface contract (`runApexClass` setting, `SandboxContext` parameter, single-execution semantics), the email-masking pattern that stops sandbox tests emailing production addresses, and the refresh runbook checklist. NOT for choosing sandbox type or refresh cadence — use admin/sandbox-strategy. NOT for re-seeding reference data after a refresh — use data/sandbox-refresh-data-strategies. Trigger keywords: SandboxPostCopy, runApexClass, SandboxContext, Test.testSandboxPostCopyScript, RunAsAutoProcUser, Automated Process user, CronTrigger, System.abortJob, sandbox email masking, post-refresh runbook.
日本語の概要は準備中です。原文の説明を表示しています。
Operational setup guide for Salesforce Energy and Utilities Cloud: license activation, permission sets, industry-specific object configuration (ServicePoint, Meter, MeterReading, Consumption, ServiceAccount, ServiceContract, RatePlan), CIS/billing system integration, and service order management. NOT for generic admin setup, NOT for reading or querying the E&U data model schema (use architect/industries-data-model for that).
日本語の概要は準備中です。原文の説明を表示しています。
Produce or review API contract documentation for Salesforce integrations: versioning policy artifacts, request/response schema specs, error code catalogs, rate limit documentation, OpenAPI generation for sObjects. Trigger keywords: Salesforce API versioning policy, API end-of-life policy, document API endpoints, REST API rate limits, OpenAPI sObjects, API contract record, error contract, errorCode catalog, 410 GONE retired API version, HTTP 300 external ID upsert, idempotency key, deprecation notice, composite subrequest limit. NOT for building the endpoint or writing the Apex REST service — use apex/apex-rest-services. NOT for upgrading the API version on your own Apex, LWC or sfdx-project.json — use devops/api-version-management.
日本語の概要は準備中です。原文の説明を表示しています。
Navigator and help guide for the UniKit framework — use when the user is unsure what to do next, where to start, or which unikit skill fits their situation. It diagnoses intent and points to the right skill or pipeline: starting a project, writing code, testing, planning, the spec-driven code workflow, authoring or detailing game design, finding a new mechanic, or deciding what game to build. Trigger on questions like "what do I do next", "where do I start", "how do I start coding", "how do I test my code", "how do I create the game design", "how do I detail a system", "how do I find a new mechanic", "which unikit skill should I use", "how does the code pipeline relate to game design", "I'm lost in unikit", "help me with unikit". Read-only — it explains and points to the right command, it never edits project files. For technical code research use /unikit-explore; for game-design research use /unikit-gd-explore; to initialize the framework use /unikit.
日本語の概要は準備中です。原文の説明を表示しています。
Map every touchpoint from first click to loyal advocate. Identify drop-off points, emotional peaks, and automation opportunities across your entire customer lifecycle.
日本語の概要は準備中です。原文の説明を表示しています。
Acuity Scheduling API integration with managed OAuth. Manage appointments, calendars, clients, and availability. Use this skill when users want to schedule, reschedule, or cancel appointments, check availability, or manage clients and calendars. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).
日本語の概要は準備中です。原文の説明を表示しています。
Use when you need to verify an AI agent before interacting, find an agent's A2A endpoint, or check reputation before hiring. Retrieves live A2A agent cards for 40,000+ verified agents by ID. The only registry with verified identity AND live A2A endpoints at scale.
日本語の概要は準備中です。原文の説明を表示しています。
정리로 유실된 run 브랜치는 git-finish checkpoint OID로 복구 검증
日本語の概要は準備中です。原文の説明を表示しています。
Automate Appointo tasks via Rube MCP (Composio). Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Generates OpenAPI 3.0/3.1 specs, TypeScript client types, and curl examples from existing route handler code. Supports Express, Next.js API routes, Fastify, and Hono. Produces complete documentation including auth requirements, rate limits, error codes, and request/response examples. Activate on: 'generate API docs', 'OpenAPI from code', 'document endpoints', 'API reference', 'swagger generation', 'endpoint documentation'. NOT for: API design from scratch (use api-architect), deployment (use devops-automator), testing (use test-automation-expert).
日本語の概要は準備中です。原文の説明を表示しています。
Performs logistic regression for clinical trial outcomes (binary, ordinal, multinomial) with marginal-vs-conditional estimand reporting per FDA 2023 covariate adjustment guidance, g-computation/standardisation for marginal effects, modified Poisson for RR, Brant test for proportional odds, Firth penalty for separation, and Hauck-Donner detection. Use when modeling binary or ordinal endpoints in confirmatory or exploratory clinical trials.
日本語の概要は準備中です。原文の説明を表示しています。
Implements missing-data sensitivity analyses for confirmatory clinical trials including MMRM under MAR (with Kenward-Roger correction), reference-based multiple imputation (J2R, CR, CIR, LMCF per Carpenter-Roger 2013), Permutt delta-adjustment / tipping-point analysis, pattern-mixture identifying restrictions (CCMV, NCMV, ACMV), and the Cro vs Bartlett variance debate. Use when handling missing primary or secondary endpoint data in regulatory submissions following NRC 2010 and ICH E9(R1).
日本語の概要は準備中です。原文の説明を表示しています。
Implements multiplicity control for confirmatory clinical trials using graphical procedures (Bretz-Maurer-Hommel), gatekeeping (parallel, serial, mixed), Hochberg/Hommel/Holm with PRDS, and the closed-testing principle (Marcus-Peritz-Gabriel; Goeman 2021 admissibility). Covers FDA Multiple Endpoints Final Guidance (October 2022), graphical procedures via R gMCP, primary + key-secondary + subgroup hierarchies, and FWER vs FDR distinction. Use when designing the multiplicity strategy for confirmatory trials with multiple primary or key secondary endpoints.
日本語の概要は準備中です。原文の説明を表示しています。
Predicts ADMET properties using ADMETlab 3.0 (119 platform features, including 77 prediction models with modeled-endpoint uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Appointo tasks via Rube MCP (Composio). Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Builds production-ready REST API endpoints with validation, error handling, authentication, and documentation. Follows best practices for security and scalability.
日本語の概要は準備中です。原文の説明を表示しています。
Do market research, user research, and product validation on Reddit with semantic search across 50K+ subreddits, 20M+ posts, and 40M+ comments via reddapi.dev - search by meaning, not keywords, no Reddit OAuth or app registration needed. Use when the user wants to research what people say on Reddit, find user pain points and complaints, validate a product or niche idea, do competitor and market research, track subreddit trends over a date range, or discover which subreddits discuss a topic. Also use when the user mentions 'Reddit research', 'Reddit 调研', 'search Reddit', 'subreddit discovery', 'niche validation', 'pain points', 'user complaints', or 'Reddit trends'. Requires REDDAPI_API_KEY. For B2B lead scoring, see reddit-leads; for a bare API reference, see reddit-search-api.
日本語の概要は準備中です。原文の説明を表示しています。